Results 101 to 110 of about 3,600 (211)
eLife, 2019 Correct cell/cell interactions and motion dynamics are fundamental in tissue homeostasis, and defects in these cellular processes cause diseases. Therefore, there is strong interest in identifying factors, including drug candidates that affect cell/cell ...
Felix Y Zhou +5 more
doaj +1 more source
SEEDS: superpixels extracted via energy-driven sampling
, 2012 Superpixel algorithms aim to over-segment the image by grouping pixels that belong to the same object. Many state-of-the-art superpixel algorithms rely on minimizing objective functions to enforce color homogeneity.
Van den Bergh, Michael +8 more
core +1 more source
Superpixels adaptés localement aux textures
, 2019 National audienceLa plupart des méthodes superpixels calculent un compromis entre des descripteurs spatiaux et couleur à l’échelle pixellique. Elles nécessitent donc un réglage fin pour équilibrer ces mesures, et ne peuvent capturer une information de ...
Berthoumieu, Yannick +3 more
core +1 more source
PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in various PolSAR image application. And many pixel-wise, region-based classification methods have been proposed for PolSAR images.
Xinzheng Zhang +4 more
doaj +1 more source
Image Haze Removal Based on Superpixels and Markov Random Field
, 2020 Image haze removal is critical for autonomous driving. However, it is a challenging task for the existing image dehazing algorithms to eliminate the block effect completely and handle objects similar to light (such as snowy objects and white buildings ...
Yibo Tan, Guoyu Wang
core +1 more source
Image Segmentation via Clustering Superpixels
, 2012 This paper presents a method for image segmentation by clustering superpixels based on histogram dissimilarity. A superpixel is a tiny image fragment which contains the edge or boundary information of sub-regions in the image. Each sub-region consists of
유지성, 김성대, 황성수
core
Décomposition en superpixels via l’utilisation de chemin linéaire [PDF]
, 2017 Groupe d'Études du Traitement du Signal et des Images (GRETSI)National audiencePour la plupart des méthodes de décomposition en superpixels, un compromis est calculé entre : 1) la régularité de la décomposition, 2) l’homogénéité couleur des superpixels ...
Papadakis, Nicolas +2 more
core +1 more source
Supervoxels-Based Histon as a New Alzheimer’s Disease Imaging Biomarker
Sensors, 2018 Alzheimer’s disease (AD) represents the prevalent type of dementia in the elderly, and is characterized by the presence of neurofibrillary tangles and amyloid plaques that eventually leads to the loss of neurons, resulting in atrophy in specific brain ...
César A. Ortiz Toro +3 more
doaj +1 more source
Class-specified segmentation with multi-scale superpixels
, 2013 Conference Name:11th Asian Conference on Computer Vision, ACCV 2012. Conference Address: Daejeon, Korea, Republic of. Time:November 5, 2012 - November 6, 2012.This paper proposes a class-specified segmentation method, which can not only segment ...
Wu, Yang +8 more
core +1 more source
Superpixels for Hyperspectral Image Analysis
, 2018 With rapid development of multi-channel optical imaging sensors, hyperpsectral data has become increasingly popular, necessitating development of algorithms for robust image analysis with such data.
Priya, Tanu
core